visium st seq method (10X Genomics)
86
Structured Review
10X Genomics
visium st seq method
Visium St Seq Method, supplied by 10X Genomics, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/array-seq+slide/pm37696903-120-3-11?v=10X+Genomics
Average 86 stars, based on 1 article reviews
Visium St Seq Method, supplied by 10X Genomics, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/array-seq+slide/pm37696903-120-3-11?v=10X+Genomics
Average 86 stars, based on 1 article reviews
visium st seq method - by Bioz Stars,
2026-08
86/100 stars
Images
1) Product Images from "High risk clear cell renal cell carcinoma microenvironments contain protumour immunophenotypes lacking specific immune checkpoints."
Article Title: High risk clear cell renal cell carcinoma microenvironments contain protumour immunophenotypes lacking specific immune checkpoints.
Journal: NPJ precision oncology
doi: 10.1038/s41698-023-00441-5
Figure Legend Snippet: Fig. 1 Schematic of patient characteristics and experiment workflow. The patient characteristics (a) of the six ccRCC patients (n = 3 LG and n = 3 HG) include: patient LG_2 with a vena cava thrombus (VCT) for which we collected primary tumour microenvironment (TME) and thrombi separately but processed in the one capture array for ST-seq; patient HG_1 that we collected and processed tissues from para-TME (pTME) and TME; and patient HG_3 that we collected tissues from pTME and TME. For this experimental workflow (b), ten tissue regions were sampled from pTME, TME and VCT that excluded fibrotic and necrotic regions. ST-seq was completed using 10x Genomics Visium Gene Expression microarrayed glass slides with unique spatially barcoded ST-spots that captured the mRNA released from the overlaying thin ccRCC tissue sections. Annotation of immune ST-spots was completed with data integration of six published single-cell RNA-sequencing (scRNA-seq) datasets. Further immune cell sub-typing was completed with a scRNA and T-cell receptor (TCR) sequencing dataset. Integrated analysis was completed on CD8+ T cells, TAM and monocytes.
Techniques Used: Gene Expression, RNA Sequencing, Sequencing
